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Microphone array for high-quality audio recording has been realized by dedicated devices. But lack of portability and high cost prevent such system being widely adopted. Today's commercial-off-the-shelf (COTS) smartphones are relatively more convenient for audio recording. However, in order to estimate the target's direction of arrival (DOA), several asynchronous receivers (smartphones) must be precisely...
This paper considers coordinated path following of multiple underactuated unmanned surface vehicles (USVs) subject to dynamical uncertainties and limited control torques. The objective is to achieve a symmetric formation pattern over a closed curve. Adaptive coordinated path following controllers are developed by combing a parameter cyclic pursuit approach, a line-of-sight guidance principle, and...
Digitalisation of industrial processes, also called the fourth industrial revolution, is leading to availability of large volume of data containing measurements of many process variables. This offers new opportunities to gain deeper insights on process variability and its effects on quality and performance. Manufacturing facilities already use data driven approaches to study process variability and...
In the safety engineering, risk estimation is in practice confronted with difficulties connected with shortage of data. In such cases, we have to rely on subjective estimations made by persons with practical knowledge in the field of interest, i.e. experts. However, in some realistic situations, the decision makers might be reluctant or unable to assign the crisp values to the evaluation judgments...
Within the complex driving environment, progress in autonomous vehicles is supported by advances in sensing and data fusion. Safe and robust autonomous driving can only be guaranteed provided that vehicles and infrastructure are fully aware of the driving scenario. This paper proposes a methodology for feature uncertainty prediction for sensor fusion by generating neural network surrogate models directly...
This paper proposes a method of searching for missing people in mountains by UAVs (Unmanned Aerial Vehicles) based on beacon signals. This method alternately updates the distribution of estimated target position and unknown parameters by particle filtering, and determines the next best observation location based on the idea of the uncertainty sampling. We will show how this method can be integrated...
This paper investigates the robust weighted fusion estimation problem of multi-sensor systems with mixed uncertainties, including stochastic parameter uncertainties, missing measurements and uncertain noise variances. The stochastic parameter uncertainties are described by multiplicative noise. Especially, the variances of both the multiplicative and additive noises are uncertain. By introducing two...
This paper considers the global state-feedback stabilization for a class of nonlinear systems with multiple uncertainties. Different from the existing related literature, the systems under investigation are subjected to unknown input bias, and allow unknown control directions and parametric uncertainties. In this paper, an adaptive state-feedback scheme is proposed, not only to deal with the multiple...
In multi-label image classification, each image is always associated with multiple labels and labels are usually correlated with each other. The intrinsic relation among labels can definitely contribute to classifier training. However, most previous studies on active learning for multi-label image classification purely mine label correlation based on observed label distribution. They ignore the mapping...
This paper presents a complete method for automatic and robust control configuration selection for linear systems which relies upon acquired process data under Gaussian noise excitation. The selection of the configuration is based on the estimation of the Interaction Measure named Participation Matrix. This estimation is derived with uncertainty bounds, which allows to determine online whether the...
In this paper, a finite time continuous terminal sliding mode controller with perturbation estimation for a Stewart platform is developed. Based on the robot's dynamic model, which was formulated in the active joint space, a continuous sliding mode type control law was designed to specify a finite time reaching law and a finite time sliding surface. In addition, it incorporates an estimated uncertainty...
In this paper, we present fusion and classification process of change indices using multitemporal satellites images in the aim to detect the change of surface states after a flood. This process is performed in the framework of Dempster Shafer Theory (DST), which takes into account the imprecision and the ignorance related to data. We apply this process to a study site located at south west of England,...
In this paper, a Model Free Control based Nonlinear Integral Backstepping Control (MFC-NIB) strategy is developed and applied to blood glucose regulation systems, which is a typical biological system with parameter variations, uncertainties and external disturbances. Firstly, an Intelligent Proportional controller (iP), which is based on model-free theory and whose algebraic estimation technique is...
The proposed integrated system is based on the methodology and strategy of solving the problem of guaranteed safety and survivability of complex technical object (CTO) functioning, that ensures the timely decision regarding the change of object's operation mode, providing the capacity for manual correction of a set of parameters with the purpose of returning their values to a normal mode. The advantage...
The paper considers the problem of decision support systems constructing for solving the problems of modeling and estimating selected types of risks with the possibility for application of alternative data processing techniques, modeling and estimation of parameters and states for the processes under study. The system proposed has a modular architecture that provides a possibility for easy extension...
In the paper are observed methods for synthesis of the information model of the systems' evolution for the variation properties of their parameters. It is proposed to carry out the variations description based on entropy potentials values. As a result, it is possible to obtain compact and representative models in various situations with the original data. The synthesis of these models requires the...
In the last edition of the IEC Standard 61000-4-30 a Rapid Voltage Change (RVC) is defined as “a quick transition in RMS voltage between two steady-state conditions, during which the voltage does not exceed the dip/swell thresholds [1].” Because of their intrinsically sudden nature, RVC-like events are generally hard to detect and to monitor. In fact, no clear criteria to set the detection thresholds...
Driving a process to optimal conditions under various uncertainties is a key issue for meeting objectives of productivity and quality of batch or fed-batch product. To overcome a limitation of two-step approaches unable to cope with nonparametric or large uncertainty, several gradient based iterative optimization methods have been proposed. Among these, latent variable model based approaches have...
Agile robots, such as small Unmanned Aerial Vehicles (UAVs) can have a great impact on the automation of tasks, such as industrial inspection and maintenance or crop monitoring and fertilization in agriculture. Their deploy-ability, however, relies on the UAV's ability to self-localize with precision and exhibit robustness to common sources of uncertainty in real missions. Here, we propose a new system...
Quadrature homodyne interferometers are frequently used in dimensional metrology. Their measurement signals exhibit offsets, unequal amplitudes and phase difference. Frequently, there exists a significant component of the measurement noise common to both (Sine and Cosine) quadrature signals, such that the noise of quadrature signals is correlated. Presented is a method for estimation the unknown correlation...
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